Google text normalization dataset (hereafter GoogleTN) [1]} is one of the few publicly available TN datasets for English with decent coverage of various semiotic classes and is widely used in the field.
Normalization forms in this dataset are generated semi-automatically with Google
TTS system’s Kestrel text normalization system [2]}. The test set contains 7551 sentences. For our second “general" dataset, we use LibriTTS [3]} derived from LibriVox audiobookshttps://librivox.org/ and corresponding Gutenberg texts https://www.gutenberg.org/. We only evaluate the subset of LibriTTS where the normalization differs from the written form, resulting in 7677 sentences.
